Optimization of fluid mixing by reinforcement learning using limit cycles of a dynamical system

Masaki Shimizu, Daiki Watanabe, Takumi Aoyagi +1

We propose a method to overcome the difficulties encountered when applying reinforcement learning to fluid mixing processes. The proposed method has two main features: (i) it does…